SS3 - Recognition of affect – Video based and Multimodal Approaches

Session chairs

Description

Such an interactive companion must be capable of perceiving and interpreting information about the user in order to be able to produce an appropriate response. The proposed special session mainly focuses on image and video processing, pattern recognition, machine learning and information fusion methods for the perception of the user’s affective state, activities and intentions.

Paper Submission

Please submit your full paper choosing the right track on the Conference Management Toolkit (Microsoft’s CMT) site. See Paper Submission for more details. All papers must be written in English and should describe original work. The length of the paper is limited to a maximum of 6 pages (in the standard IEEE conference double column format).